Cheng Jiang

According to our database, Cheng Jiang authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Step-Calibrated Diffusion for Biomedical Optical Image Restoration.

Yiwei Lyu, Sung Jik Cha, Cheng Jiang, Asadur Chowdury, Xinhai Hou, Edward S. Harake, Akhil Kondepudi, Christian W. Freudiger, Honglak Lee, Todd C. Hollon

CoRR, 2024

A self-supervised framework for learning whole slide representations.

Xinhai Hou, Cheng Jiang, Akhil Kondepudi, Yiwei Lyu, Asadur Zaman Chowdury, Honglak Lee, Todd C. Hollon

CoRR, 2024

Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters.

Edward S. Harake, Joseph R. Linzey, Cheng Jiang, Rushikesh S. Joshi, Mark M. Zaki, Jaes C. Jones, Siri S. Khalsa, John H. Lee, Zachary Wilseck, Jacob R. Joseph, Todd C. Hollon, Paul Park

CoRR, 2024

2023

Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging.

Todd C. Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, Wajd Al-Holou, Jason Heth, Oren Sagher, Pedro Lowenstein, Maria Castro, Lisa Irina Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Niklas von Spreckelsen, Mitchel S. Berger, Shawn Hervey-Jumper, John G. Golfinos, Matija Snuderl, Sandra Camelo-Piragua, Christian W. Freudiger, Honglak Lee, Daniel A. Orringer

CoRR, 2023

Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy.

Cheng Jiang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology.

Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Contrastive Representation Learning for Rapid Intraoperative Diagnosis of Skull Base Tumors Imaged Using Stimulated Raman Histology.

Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey, Rushikesh S. Joshi, Sung Jik Cha, Sudharsan Srinivasan, Daniel Alber, Akhil Kondepudi, Esteban Urias, Balaji Pandian, Wajd Al-Holou, Steve Sullivan, B. Gregory Thompson, Jason Heth, Chris Freudiger, Siri S. Khalsa, Donato Pacione, John G. Golfinos, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon

CoRR, 2021

Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata.

Zhi Li, Harm Derksen, Jonathan Gryak, Cheng Jiang, Zijun Gao, Winston Zhang, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian

Biomed. Signal Process. Control., 2021

Coupled matrix-matrix and coupled tensor-matrix completion methods for predicting drug-target interactions.

Maryam Bagherian, Renaid B. Kim, Cheng Jiang, Maureen A. Sartor, Harm Derksen, Kayvan Najarian

Briefings Bioinform., 2021

2019

Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries.

Cheng Jiang, Jie Cao, Craig A. Williamson, Negar Farzaneh, Venkatakrishna Rajajee, Jonathan Gryak, Kayvan Najarian, S. M. Reza Soroushmehr

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Automated subdural hematoma segmentation for traumatic brain injured (TBI) patients.

Negar Farzaneh, S. M. Reza Soroushmehr, Craig A. Williamson, Cheng Jiang, Ashok Srinivasan, Jayapalli R. Bapuraj, Kevin R. Ward, Frederick K. Korley, Kayvan Najarian

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017